Temperature Inferential Control of Heat‐Integrated Distillation Column Based on Variable Sensitive Stage Temperature Set‐point

2019 ◽  
Vol 97 (11) ◽  
pp. 2952-2960
Author(s):  
Lin Cong ◽  
Xinggao Liu
Keyword(s):  
Distillation Column ◽  
Set Point ◽  
Inferential Control ◽  
Sensitive Stage

Inferential Control of a Distillation Column Using an Online Estimator

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Vijander Singh ◽  
Indra Gupta ◽  
Hari Om Gupta
Keyword(s):  
Data Acquisition ◽  
Product Quality ◽  
Control Strategy ◽  
Distillation Column ◽  
Measurement Techniques ◽  
Data Acquisition System ◽  
Distillation Process ◽  
Present Scheme ◽  
Inferential Control ◽  
Control Scheme

The time to measure and maintain distillate quality in the presence of disturbances is the main objective of the distillation process. To maintain the product quality, a suitable tray temperature is kept constant with the help of a control strategy near its set point. As the controlled variables cannot be measured online easily due to measurement lags and sampling delays, the secondary measurement techniques are used to estimate the distillate quality by adjusting the values of manipulated variables (inferential control). This paper presents an inferential control scheme for a distillation column using an Ethernet-based data acquisition system to provide a standard online estimator. In the present scheme the distillation parameters are acquired from a client PC connected to the network and the distillate composition is estimated online by a developed ANN-based estimator. The above estimator is used for an inferential control strategy to control distillate composition. The inferential control scheme is exercised for various disturbances and the effect of the disturbances is observed on distillate quality.

scholarly journals Interval type-2 fuzzy logic controller design for distillation column process

2019 ◽  
Vol 8 (3) ◽  
pp. 155
Author(s):  
Mohammed Y. Hassan ◽  
Sebal S. Ezzaten
Keyword(s):  
Fuzzy Logic ◽  
Intelligent Control ◽  
Distillation Column ◽  
Fuzzy Logic Controller ◽  
Molar Fraction ◽  
Absolute Error ◽  
Set Point ◽  
Oil Refineries ◽  
Interval Type

Distillation columns are the most units used in oil refineries, and chemical factories. This is a very difficult process and non-linear. Therefore, <br /> the development of intelligent control systems for the columns of <br /> the distillation is very difficult. In this paper, an intelligent control strategy using Mamdani type Interval Type-2 PI Like Fuzzy Logic Controller (IT2FLC) is used. The controller consists of PD-Like FLC with integrated output. Kernek Mendel (KM) algorithm is used as the type reduction method for the IT2FLC. This controller is applied to control a continuous binary trays distillation column. The controller has three tunable gains to reach minimum overshoot, minimum error and minimum settling time at least variables can be controlled. The controller is a variable of the molar fraction of distillate and the reflex ratio is the manipulated variable. Integral Time Absolute Error (ITAE) is employed as an objective function to measure the improvement in time response where the error is between desired and output product composition. The performance of IT2FLC is compared with Type-1 PI Like FLC (T1FLC). The results of the simulations have shown that the project of IT2FLC works efficiently to no- disturbance and the effects of disturbance. Improve average is of 85% for a constant set-point without a disturbance and 80% with a disturbance. Furthermore, the average improvement for a step set-point is 53% without disturbance and 74% with disturbance. All results of the simulation confirmed the hardiness and control any consistent inaccurate with obvious advantages for the IT2FLC.

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